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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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notes
Notes — Multi-modal LLMs for Medical Imaging
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Key Ideas
- Vision-language alignment needs clinical context supervision.
- Reporting-style training targets may improve factual consistency.
Transformer：从理解到生成的统一框架
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一、核心思想
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
progress
Week 01 — Research Progress
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Goals
- Define Q1 research focus in medical image analysis.
- Survey recent multi-modal LLM papers relevant to clinical imaging.
publications
Transformer-based visual question answering model comparison
Published in Journal of Physics: Conference Series, 2023
A comparative analysis of LXMERT and UNITER models for visual question answering tasks.
Recommended citation: Zhicheng He, Yuanzhi Li, Dingming Zhang. (2023). "Transformer-based visual question answering model comparison." Journal of Physics: Conference Series, 2646(1), 012031.
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Deep Learning-Based Detection of Impacted Teeth on Panoramic Radiographs
Published in Biomedical Engineering and Computational Biology, 2024
Fine-tuning MedSAM for impacted tooth segmentation in X-ray images to aid dental diagnoses.
Recommended citation: He Zhicheng, Wang Yipeng, Li Xiao. (2024). "Deep Learning-Based Detection of Impacted Teeth on Panoramic Radiographs." Biomedical Engineering and Computational Biology, 15, 11795972241288319.
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Endouic: Promptable diffusion transformer for unified illumination correction in capsule endoscopy
Published in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
A WCE unified illumination correction solution using an end-to-end promptable diffusion transformer (DiT) model.
Recommended citation: Long Bai, Tong Chen, Qiaozhi Tan, Wan Jun Nah, Yanheng Li, Zhicheng He, Sishen Yuan, Zhen Chen, Jinlin Wu, Mobarakol Islam, Zhen Li, Hongbin Liu, Hongliang Ren. (2024). "Endouic: Promptable diffusion transformer for unified illumination correction in capsule endoscopy." International Conference on Medical Image Computing and Computer-Assisted Intervention, Pages 296-306.
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Graph Matching Based Graph Self-Supervised Learning for Molecular Property Prediction
Published in 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
A graph self-supervised learning framework utilizing graph matching for molecular property prediction.
Recommended citation: Hongxiang Lin, Yixiao Zhou, Huiying Hu, Zhicheng He, Runzhi Wu, Xiaoqing Lyu. (2024). "Graph Matching Based Graph Self-Supervised Learning for Molecular Property Prediction." 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Pages 7092-7094.
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Multimodal Content Alignment with LLM for Visual Presentation of Papers
Published in International Conference on Document Analysis and Recognition (ICDAR), 2025
Paper2PPT framework for generating visual presentations of scientific papers with cross-modal alignment.
Recommended citation: Huiying Hu, Zhicheng He, Yixiao Zhou, Tongwei Zhang, Xiaoqing Lyu. (2025). "Multimodal Content Alignment with LLM for Visual Presentation of Papers." International Conference on Document Analysis and Recognition, Pages 238-256.
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SSSI: Self-prompted Segmentation of Scientific Illustrations
Published in International Conference on Document Analysis and Recognition (ICDAR), 2025
A self-prompted segmentation framework for scientific illustrations using SAM-based methods.
Recommended citation: Tuo Wang, Yixiao Zhou, Tongwei Zhang, Zhicheng He, Yumeng Zhao, Xiaoqing Lyu. (2025). "SSSI: Self-prompted Segmentation of Scientific Illustrations." International Conference on Document Analysis and Recognition, Pages 347-361.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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